Testing hypotheses about the probability distribution underlying the available empirical data is one of the fundamental data-analytic tasks in any application domain. Basically, it consists in checking the null hypothesis that the probability distribution, a priori assumed to belong to a certain set
β¦ LIBER β¦
A fuzzy statistical test of fuzzy hypotheses
β Scribed by Norio Watanabe; Tadashi Imaizumi
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 635 KB
- Volume
- 53
- Category
- Article
- ISSN
- 0165-0114
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In this paper, we prove a Korovkin-type approximation theorem for fuzzy positive linear operators by using the notion of Astatistical convergence, where A is a non-negative regular summability matrix. This type of approximation enables us to obtain more powerful results than in the classical aspects